ai.sitepulsar/mcp

Est-ce que ai.sitepulsar/mcp est sûr ?

Au dernier audit MCP Hub, le serveur MCP « ai.sitepulsar/mcp » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 13 outils

• check_agent_readiness≈ 602 tokens

  Fast synchronous AEO / agent-readiness read of a single URL: robots and bot access, structured data (schema), and content structure. Returns immediate signals without running a full audit. Use this to triage a page or sanity-check before deciding whether the heavier run_audit is worth a credit.

  Paramètres, retour & exemple (1)

  Paramètres

  • url · string · requis
    Absolute URL to audit.

  Exemple d'appel

  {"name": "check_agent_readiness", "arguments": {"url": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"url": "texte", "cached": true, "find_low": true, "categories": {}, "is_estimate": true, "aeo_estimate": {}, "suggested_next_calls": []}}

• compare_aeo≈ 450 tokens

  Compare AEO posture across multiple URLs (e.g. a brand versus its competitors) on the same FIND/READ/USE pillar scale. Async: returns an audit_id to poll with get_audit. Spends credits only for freshly-audited URLs; recent audits are reused uncharged.

  Paramètres, retour & exemple (1)

  Paramètres

  • urls · array · requis
    Absolute URLs to compare.

  Exemple d'appel

  {"name": "compare_aeo", "arguments": {"urls": []}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"eta_ms": 1, "status": "texte", "audit_id": "texte", "child_audit_ids": [], "reused_audit_ids": [], "suggested_next_calls": []}}

• get_audit≈ 732 tokens

  Fetch an audit's status and, when complete, a compact decision-ready SUMMARY: AEO score (overall + FIND/READ/USE), a short summary, the weakest pillar, headline takeaways, and the top fixes. Lead with this; call get_audit_detail only when you need the full per-section breakdown.

  Paramètres, retour & exemple (1)

  Paramètres

  • audit_id · string · requis
    The audit_id returned by run_audit / compare_aeo (poll until status is completed).

  Exemple d'appel

  {"name": "get_audit", "arguments": {"audit_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"status": "texte", "summary": "texte", "audit_id": "texte", "aeo_score": {}, "top_fixes": [], "schema_version": 1, "weakest_pillar": "texte", "summary_truncated": true, "headline_takeaways": [], "suggested_next_calls": []}}

• get_audit_detail≈ 1410 tokens

  Full structured per-section breakdown of a completed audit, on demand (only call after get_audit when you need depth): per-dimension FIND/READ/USE sub-scores, reputation across AI engines, competitor cluster (named for paid tiers), crawl/schema/robots findings, agentic-readiness + USE functional probes, and rendered-DOM analysis (paid). Typed, sanitized, size-capped (see truncated/dropped_sections). Composite *_score fields listed in experimental_fields may change methodology — do not hardcode thresholds. Also surfaces author/E-E-A-T, content freshness, images, hreflang, per-page per-bot access, Schema.org Action microformats, OpenAPI sub-metrics, Google Intelligence, product readability, site maturity, and a methodology block — each tagged with an availability state in the `availability` map (present | not_detected | not_run_free_tier | phase_c_disabled | probe_failed | truncated | not_measured_legacy). Wave C adds deterministic signals: homepage content quality (named quotes, stats-with-source, answer-shape) under crawl.content_signals; per-page video + per-locale schema in page_signals; OpenAPI per-operation coverage %, OAuth scopes, and MCP tool annotations in agentic_detail.use_probes; and self-disclosed trust claims (certifications, SLA/uptime, AI-content disclosure, verifiable-claims) under agentic_detail.trust_claims — each labeled "disclosed"/"mentioned" (never "verified") with an evidence URL and extraction-confidence. All carry an availability state in the `availability` map.

  Paramètres, retour & exemple (1)

  Paramètres

  • audit_id · string · requis
    The audit_id returned by run_audit / compare_aeo (poll until status is completed).

  Exemple d'appel

  {"name": "get_audit_detail", "arguments": {"audit_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"url": "texte", "crawl": {}, "status": "texte", "audit_id": "texte", "truncated": true, "reputation": {}, "competitors": {}, "methodology": {}, "availability": {}, "deep_signals": {}, "page_signals": {}, "rendered_dom": {}}}

• get_audit_full≈ 2222 tokens

  One call that returns a completed audit's SUMMARY, full per-section DETAIL, and deduplicated prioritized FIXES together — so you don't have to chain get_audit → get_audit_detail → get_fixes. Use `expand` to trim the payload ('summary' | 'detail' | 'fixes' | 'all'; default 'all'). Same ownership, tier gating, and sanitization as those tools. For an in-progress audit it returns the status so you can keep polling. The detail layer includes Wave-B surfaced sections (author/E-E-A-T, freshness, images, hreflang, per-bot access, Action microformats, OpenAPI sub-metrics, Google Intelligence, product readability, site maturity, methodology) and Wave-C deterministic signals (content quality, video/locale, USE sub-metrics, trust claims) each with an availability state.

  Paramètres, retour & exemple (2)

  Paramètres

  • expand · string · optionnel · summary | detail | fixes | all
    Which sections to include; default 'all'.
  • audit_id · string · requis
    The audit_id returned by run_audit / compare_aeo (poll until status is completed).

  Exemple d'appel

  {"name": "get_audit_full", "arguments": {"audit_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"fixes": [], "detail": {}, "expand": "texte", "status": "texte", "summary": {}, "audit_id": "texte", "schema_version": 1, "suggested_next_calls": []}}

• get_fixes≈ 471 tokens

  Return the prioritized, pillar-tagged (FIND / READ / USE) action plan for a completed audit, deduplicated across sources, with machine-actionable implementation steps included on fixes where available. Use this when you want the to-do list to act on (or hand to a coding agent), rather than the scores or section detail.

  Paramètres, retour & exemple (1)

  Paramètres

  • audit_id · string · requis
    The audit_id returned by run_audit / compare_aeo (poll until status is completed).

  Exemple d'appel

  {"name": "get_fixes", "arguments": {"audit_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"fixes": [], "audit_id": "texte"}}

• probe_agent_discovery≈ 398 tokens

  Checks selected registries (official MCP registry, PyPI, GitHub) for packages/servers tied to a domain or brand. A discovery-surface check (can agents find your published tooling?), not a visibility check. Use when you want to know whether a brand has discoverable agent/developer artifacts listed where agents look for them. Result: { state, score, tier, hits[], tool_schema_version }.

  Paramètres, retour & exemple (2)

  Paramètres

  • url · string · requis
    Absolute https URL of the target (any public domain).
  • brand · string · optionnel
    Optional brand/company name; inferred from the domain when absent.

  Exemple d'appel

  {"name": "probe_agent_discovery", "arguments": {"url": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"hits": [], "tier": "texte", "score": 1, "state": "texte", "tool_schema_version": 1, "attributed_identifier": "texte"}}

• probe_mcp_functional≈ 472 tokens

  Discovers a site's advertised MCP endpoint (mcp.json / .well-known) and inspects its *declared* OAuth/transport posture (advertised, not guaranteed-working — it does not run a full live handshake). Use when checking whether a site exposes a connectable MCP server and what it claims to support. Result: { handshake_ok, declared_endpoint, declared_tool_names[], score, tool_schema_version }.

  Paramètres, retour & exemple (2)

  Paramètres

  • url · string · requis
    Absolute https URL of the target (any public domain).
  • brand · string · optionnel
    Optional brand/company name; inferred from the domain when absent.

  Exemple d'appel

  {"name": "probe_mcp_functional", "arguments": {"url": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"score": 1, "handshake_ok": true, "tools_listed": 1, "declared_endpoint": "texte", "attempted_endpoint": "texte", "reachability_state": "texte", "declared_tool_names": [], "tool_schema_version": 1}}

• probe_ucp_readiness≈ 395 tokens

  Inspects /.well-known/ucp to report whether AI shopping agents can transact with the site (presence + advertised capabilities only — never a live purchase). Use when evaluating an e-commerce or merchant site for agentic-commerce readiness. Result: { has_ucp_profile, capabilities[], score, tool_schema_version }.

  Paramètres, retour & exemple (2)

  Paramètres

  • url · string · requis
    Absolute https URL of the target (any public domain).
  • brand · string · optionnel
    Optional brand/company name; inferred from the domain when absent.

  Exemple d'appel

  {"name": "probe_ucp_readiness", "arguments": {"url": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"score": 1, "capabilities": [], "reachability": {}, "has_ucp_profile": true, "tool_schema_version": 1}}

• run_audit≈ 444 tokens

  Run a full AEO audit of a URL covering FIND, READ, and USE. Async: returns an audit_id to poll with get_audit. Accepts an optional target_keyword. Spends one audit credit per fresh run; a same-URL re-run within 24h reuses the cached audit, uncharged.

  Paramètres, retour & exemple (2)

  Paramètres

  • url · string · requis
    Absolute URL to audit.
  • target_keyword · string · optionnel
    Optional keyword to evaluate against; inferred when absent.

  Exemple d'appel

  {"name": "run_audit", "arguments": {"url": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"cached": true, "eta_ms": 1, "status": "texte", "audit_id": "texte", "served_from_cache": true, "suggested_next_calls": []}}

• scan_product_page≈ 522 tokens

  Deterministically scores one product page (schema, price, availability, image) 0–100 for shopping-agent readability — no LLM, fully repeatable. Use when you want a precise, single-page readability score for a specific product URL rather than a whole-site audit. Available on Pro+ plans. Result: { result: { readability_score, ... }, tool_schema_version }.

  Paramètres, retour & exemple (2)

  Paramètres

  • url · string · requis
    Absolute https URL of the target (any public domain).
  • brand · string · optionnel
    Optional brand/company name; inferred from the domain when absent.

  Exemple d'appel

  {"name": "scan_product_page", "arguments": {"url": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "tool_schema_version": 1}}

• scan_visibility≈ 303 tokens

  Live AI-visibility scan for a brand: crawl + reputation sampled across AI engines, returning where *that* brand is mentioned (any public brand, not just your own). Use when you want to know whether and how a named brand already surfaces in AI answers — complementary to search_companies, which finds who agents recommend for a category. Pro+ (LLM cost). Result: { reputation[], tool_schema_version }.

  Paramètres, retour & exemple (2)

  Paramètres

  • url · string · requis
    Absolute https URL of the target (any public domain).
  • brand · string · optionnel
    Optional brand/company name; inferred from the domain when absent.

  Exemple d'appel

  {"name": "scan_visibility", "arguments": {"url": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"reputation": [], "tool_schema_version": 1}}

• search_companies≈ 420 tokens

  Samples the major AI engines for which companies they name for a query (e.g. "best CRM for startups"); returns a consensus shortlist (≤5). Use when you want to know who agents *recommend* for a category — not where a specific brand is mentioned (use scan_visibility for that). Free, no URL needed. Result: { companies[], tool_schema_version }.

  Paramètres, retour & exemple (1)

  Paramètres

  • query · string · requis
    Natural-language search query (3–200 chars).

  Exemple d'appel

  {"name": "search_companies", "arguments": {"query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"companies": [], "tool_schema_version": 1}}

C'est votre serveur ?

Revendiquez-le sur l'espace créateur (preuve GitHub, domaine ou npm) pour afficher le badge « propriétaire vérifié » et lancer un pentest comportemental à la demande afin d'obtenir le badge « Vérifié ».

Créer un compte / revendiquer →

Source

https://mcp.sitepulsar.ai/mcp